Background: Lymph node involvement is an important prognostic factor in patients with gastric cancer. The aim of this study was to determine the prognostic significance of metastatic lymph node ratio (MLNR) and compare it to the number of lymph node metastasis in pN3 gastric cancer. Methods: We retrospectively analyzed 207 patients with pN3 gastric cancer who had undergone radical gastrectomy. Prognostic factors and MLNR were evaluated by univariate and multivariate analysis. Results: An MLNR of 0.75 was found to be the best cut-off value to determine the prognosis of patients with pN3 gastric cancer (p = 0.001). The MLNR was significantly higher in patients with large-sized and undifferentiated tumors, vascular, lymphatic and perineural invasion, and total gastrectomy. In multivariate analysis, MLNR (p = 0.041), tumor differentiation (p = 0.046), and vascular invasion (p = 0.012) were found to be independent prognostic factors for disease-free survival, while both MLNR (p < 0.001) and pN stage (p = 0.002) were independent prognostic indicators, as was tumor size, for overall survival. There was significant difference with respect to the recurrence patterns between MLNR groups. Lymph node and peritoneal recurrences were significantly higher in patients with MLNR > 0.75 compared to the MLNR < 0.75 group (p < 0.05). However, recurrence patterns were similar between pN3a and pN3b. Conclusion: Our results showed that MLNR was a useful indicator to determine the prognosis and recurrence patterns of patients with radically resected gastric cancer. Moreover, MLNR is a beneficial and reliable technique for evaluating lymph node metastasis.

The aim of this study was to investigate the predictive and prognostic value of PLR, and the relationship between PLR and tumor localization. A total of 229 patients with de-novo metastatic CRC were retrospectively analyzed. The cutoff value for PLR was defined by the receiver operating characteristic (ROC) curve analysis and threshold value of 196.5 as best cut-off value was found. The higher rate of BRAF mutation was significantly detected for patients with PLR^high (> 196.5) compared to those with PLR^low (≤196.5) (P = .001). PLR was significantly higher in tumors located on the right colon (P = .012). PLR, tumor localization, the presence of surgery for primary tumor, the presence of curative surgery, the presence of metastasectomy for progression-free survival (PFS) and PLR, gender, BRAF mutation, tumor localization, the presence of surgery for primary tumor, the presence of metastasectomy for overall survival (OS) were found to be prognostic factors by univariate analysis. Multivariate analysis showed that PLR, the presence of curative surgery and the presence of metastasectomy for both PFS and OS were found to be independent prognostic factors. Moreover, a logistic regression analysis indicated that PLR and tumor localization were found to be an independent factors for predicting response to systemic treatment (P < .001 and P = .023 respectively). Our results showed that pretreatment PLR was readily feasible and simple biomarker predicting response to treatment and survival, in addition it was significantly associated with tumor localization.

Central nervous system (CNS) metastases can be seen at a rate of 30% in advanced stages for patients with non-small cell lung cancer (NSCLC). Growing evidence indicates the predictive roles of driver gene mutations in the development of brain metastases (BM) in recent years, meaning that oncogene-driven NSCLC have a high incidence of BM at diagnosis. Today, 3rd generation targeted drugs with high intracranial efficacy, which can cross the blood–brain barrier, have made a positive contribution to survival for these patients with an increased propensity to BM. It is important to update the clinical and pathological factors reflected in the survival with real-life data. A multi-center, retrospective database of 306 patients diagnosed with driver mutant NSCLC and initially presented with BM between between November 2008 and September 2022 were analyzed. The median progression-free survival (mPFS) was 12.25 months (95% CI, 10–14.5). While 254 of the patients received tyrosine kinase inhibitor (TKI), 51 patients received chemotherapy as first line treatment. The median intracranial PFS (iPFS) was 18.5 months (95% CI, 14.8–22.2). The median overall survival (OS) was 29 months (95% CI, 25.2–33.0). It was found that having 3 or less BM and absence of extracranial metastases were significantly associated with better mOS and iPFS. The relationship between the size of BM and survival was found to be non-significant. Among patients with advanced NSCLC with de novo BM carrying a driver mutation, long-term progression-free and overall survival can be achieved with the advent of targeted agents with high CNS efficacy with more conservative and localized radiotherapy modalities.

Atezolizumab is now the standard treatment for extensive-stage small cell lung cancer (ES-SCLC). Herein, we investigated the prognostic role of inflammatory markers in patients treated with atezolizumab plus chemotherapy and evaluated the efficacy and safety of adding atezolizumab to chemotherapy for patients with ES-SCLC and prognostic and predictive factors as a real-life experience. This retrospective study included 55 patients who received front-line atezolizumab with etoposide plus platin regimen for ES-SCLC. We analyzed the survival outcomes and factors that may predict response and survival. The objective response rate (ORR) was 81.8%. At a median follow-up of 23.5 months, the median progression-free survival (PFS) time was 10.8 months, and the median overall survival (OS) time was 15.2 months. In univariate analysis for PFS, limited-stage disease at the time of diagnosis, the presence of prophylactic cranial irradiation (PCI), the presence of liver metastasis, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) were found to be prognostic factors (P = .041, P = .034, P = .031, P = .004, and P = <.001, respectively). In other words, while the median PFS time was 14.1 months in patients with PLR ≤ 135.7, it was 7.5 months in patients with > 135.7. Similarly, median PFS was 14.9 months in patients with NLR ≤ 3.43, while it was 9.6 months in patients with > 3.43. Univariate analysis for OS revealed that limited stage at the time of diagnosis, NLR and PLR were significant prognostic indicators (P = .01, P = .006, and P = .007, respectively). Median OS time for patients with both NLR ≤ 3.43 and PLR ≤ 135.7 was significantly better than that of patients with NLR > 3.43 and PLR > 135.7 (16.9 vs 11.3 and 16.9 vs 11.5 months, respectively). Logistic regression analysis demonstrated that PLR was an independent significant predictive factor for the response to atezolizumab plus chemotherapy (OR: 0.07, P = .028). The patients with PLR ≤ 135.7 were significantly good responders to atezolizumab plus chemotherapy treatment. Real-life data demonstrated a significant correlation between survival and NLR and, PLR in ES-SCLC patients treated with atezolizumab. In addition, PLR was a significant predictive indicator of response to atezolizumab plus chemotherapy.

To evaluate the prognostic utility of inflammation-based prognostic scores in patients with ALK-positive metastatic or non-resectable non-small-cell lung cancer (NSCLC) treated with crizotinib. A total of 82 patients with ALK-positive metastatic or non-resectable NSCLC who received ALK TKI crizotinib were included. Pre-treatment modified Glasgow prognostic score (mGPS), prognostic nutritional index (PNI), and systemic immune-inflammation index (SII) were calculated. Multivariable logistic regression and Cox proportional hazards models were used to assess the impact of pretreatment mGPS, PNI, and SII on overall survival (OS), progression-free survival (PFS), and objective response rate (ORR). The ORR was 77.2%, while 1-year OS and PFS rates were 95.0% and 93.5%, respectively. The univariate analysis revealed significantly higher 1-year PFS (89.4 vs. 64.4%, p=0.043) and OS (92.0 vs. 83.3%, p=0.01) rates in patients with low (<934.7) vs. high (≥934.7) SII scores. Multivariate analysis revealed that PNI ≥0.09 was a significant determinant of poorer 1-year OS rates (hazard ratio [HR]: 2.46, 95% confidence interval [CI] 0.88-4.85, p=0.035). No significant difference was observed in survival rates according to gender, age, smoking status, prior lines of therapy, or mGPS scores, while higher mGPS scores (odds ratio [OR]: 0.1, 95%CI 0.16-1.04; p=0.009) and higher PNI scores (OR: 0.16, 95% CI 0.02-0.55; p=0.035) were associated with poorer ORR. Our findings indicate the prognostic significance of PNI and SII in terms of survival outcome and the impact of mGPS and PNI on treatment response in patients with ALK-positive NSCLC treated with crizotinib.